Data cleansing, enrichment and suggestions via Dadata API
Thin Python wrapper over Dadata API.
pip install dadataCleansing:
>>> from dadata import Dadata
>>> token = "Replace with Dadata API key"
>>> secret = "Replace with Dadata secret key"
>>> dadata = Dadata(token, secret)
>>> dadata.clean("address", "мск сухонская 11 89")
{'source': 'мск сухонская 11 89', 'result': 'г Москва, ул Сухонская, д 11, кв 89', ...}Suggestions and other services:
>>> from dadata import Dadata
>>> token = "Replace with Dadata API key"
>>> dadata = Dadata(token)
>>> dadata.geolocate(lat=55.8782557, lon=37.65372)
>>> dadata.iplocate("212.45.30.108")
>>> dadata.suggest("party", "моторика")
>>> dadata.find_by_id("party", "7719402047")
>>> dadata.find_affiliated("7736207543")$ python3 -m venv env
$ . env/bin/activate
$ make deps
$ toxPull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.
Make sure to add or update tests as appropriate.
Use Black for code formatting and Conventional Commits for commit messages.